On Measuring Bias in Online Information - Archive ouverte HAL Access content directly
Journal Articles SIGMOD record Year : 2018

On Measuring Bias in Online Information

(1) , (1) , (2) , (2) , (2) , (3, 4) , (5)
1
2
3
4
5

Abstract

Bias in online information has recently become a pressing issue, with search engines, social networks and recommendation services being accused of exhibiting some form of bias. In this vision paper, we make the case for a systematic approach towards measuring bias. To this end, we discuss formal measures for quantifying the various types of bias, we outline the system components necessary for realizing them, and we highlight the related research challenges and open problems.
Fichier principal
Vignette du fichier
bias-sr.pdf (348.23 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01638069 , version 1 (19-11-2017)
hal-01638069 , version 2 (20-11-2017)

Identifiers

  • HAL Id : hal-01638069 , version 2

Cite

Evaggelia Pitoura, Panayiotis Tsaparas, Giorgos Flouris, Irini Fundulaki, Panagiotis Papadakos, et al.. On Measuring Bias in Online Information. SIGMOD record, 2018, pp.1-6. ⟨hal-01638069v2⟩
464 View
201 Download

Share

Gmail Facebook Twitter LinkedIn More